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AI-Assisted Software Development Process

AI-accelerated development with human-assured quality

The Best of Both Worlds

We combine cutting-edge AI development tools with the experience and judgment of senior developers. You get the speed and cost-efficiency of AI with the quality and strategic thinking that only humans provide.

Real Cost Savings, Passed to You

By using AI to handle repetitive tasks, we can deliver the same high-quality software at significantly lower costs—and we pass those savings directly to our clients.

Enterprise Project Example

Traditional Approach
$50,000
14-16 weeks
  • • Manual boilerplate coding
  • • Time-intensive testing
  • • Repetitive CRUD operations
Save $20k
AI-Accelerated
$30,000
10-12 weeks
  • AI-generated boilerplate
  • Automated test creation
  • Rapid scaffolding

40% cost reduction • Same quality • Faster delivery

Standard Project Example

Traditional Approach
$30,000
10-12 weeks
  • • Manual API development
  • • Hand-coded migrations
  • • Manual documentation
Save $10k
AI-Accelerated
$20,000
7-8 weeks
  • AI-assisted API endpoints
  • Auto-generated schemas
  • AI-powered docs

33% cost reduction • Same quality • Faster delivery

How We Achieve These Savings

40-60% Faster

AI eliminates time spent on repetitive coding tasks

100% Human-Reviewed

Senior developers review and refine all AI-generated code

Savings Passed to You

Lower costs mean better value for your investment

Industry-validated approach: Leading banks and tech companies report 30-55% productivity increases using AI development tools. We leverage the same professional-grade technology (Cursor IDE, GitHub Copilot) to pass these efficiency gains directly to our clients—without compromising on quality.

Our Development Approach

1

AI-Assisted Coding

We use professional AI development tools to accelerate routine tasks:

  • Cursor IDE - AI pair-programming for real-time code suggestions and completion
  • GitHub Copilot - Context-aware code generation for boilerplate and patterns
  • Automated scaffolding - Generate CRUD operations, API endpoints, and database migrations

⚡ Result: 40-60% reduction in time spent on repetitive coding tasks

AI Handles Speed

Humans Handle Strategy

2

Human Code Review & Refinement

Every feature goes through our three-stage quality process:

  1. 1

    AI-assisted development

    Rapid initial implementation

  2. 2

    Senior developer review

    Code refactoring, optimization, best practices

  3. 3

    Automated testing

    Unit tests, integration tests, security scanning

✅ Result: Production-ready code that follows industry best practices

3

Production-Grade Technology

We use proven, widely-supported technologies (not proprietary platforms):

Laravel

Battle-tested PHP framework for robust backends

Vue.js

Modern JavaScript framework for responsive frontends

NativeScript

Cross-platform mobile development with Vue.js

PostgreSQL / MySQL

Reliable relational databases

🔓 Result: You own portable, maintainable code with no vendor lock-in

Enterprise-Grade Stack

Complete Transparency

📋

Fixed-Price Packages

No hourly billing uncertainty. You know the exact cost before we start.

📊

Weekly Progress Demos

See your application take shape every week with live demonstrations.

💻

GitHub Access Day One

Watch commits in real-time. Full transparency into development progress.

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Complete Documentation

Technical docs, user guides, and training materials included.

Quality Assurance Process

1

Automated Testing

Every feature includes automated tests. Tests run on every code commit.

2

Security Scanning

Automated vulnerability detection on every build catches issues early.

3

Manual QA Testing

Human testers verify functionality across browsers, devices, and use cases.

4

Performance Testing

Load testing and optimization ensure real-world performance.

Addressing the "AI-Generated Code" Question

Is AI-generated code quality?

When properly supervised, yes. Here's our philosophy:

What AI Does Well

  • Boilerplate code and scaffolding
  • Standard CRUD operations
  • Database migrations
  • Initial test writing
  • API endpoint generation

What Humans Do Better

  • Architecture decisions
  • Security considerations
  • Performance optimization
  • Code refactoring
  • Business logic complexity

Think of AI as a highly productive junior developer—excellent at routine tasks when supervised by experienced humans. This hybrid approach delivers both speed and quality.

Typical Project Timeline

Here's what a 12-week MVP software project looks like:

1-2

Discovery & Planning

If purchased separately
  • Requirements gathering workshop
  • Feature prioritization (MoSCoW method)
  • Technical architecture planning
  • Wireframe creation (up to 15 screens)
3-4

Design

  • UI/UX design for core screens
  • Design system creation
  • Client review and feedback
  • Design approval and handoff

💰 Payment Milestone: 30% (design approval)

5-10

Development

  • Frontend development (Vue.js)
  • Backend API development (Laravel)
  • Weekly progress demos
  • Continuous client feedback

💰 Payment Milestone: 40% (midpoint, week 7)

11-12

Testing & Deployment

  • Comprehensive QA testing
  • Production deployment
  • Documentation delivery
  • Training sessions

💰 Final Payment: 30% (delivery)

Communication & Collaboration

📹

Weekly Demos

30-minute video calls to review progress and gather feedback

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Email Updates

Written updates 2-3 times per week summarizing progress

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Project Board

Notion workspace showing all tasks and their status

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Louisiana-Based

We're in your timezone with email and phone access

Ready to Start Your Project?

Schedule a free 30-minute consultation to discuss your needs and see if we're a good fit.

View Transparent Pricing Schedule Free Consultation

🔒 No obligation • No pressure • Fixed pricing